Architecture DSP Intern - PhD

Marvell•Santa Clara, CA

63d•$29 - $57

About The Position

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Join Marvell's Storage DSP team, where we design cutting-edge digital signal processing solutions for next-generation data storage systems. Our work spans equalization, error-control coding, detection, and machine learning. As an intern, you'll collaborate with DSP experts pushing the boundaries of innovation. This internship offers hands-on experience in industry, skill development aligned with your academic goals, and the potential to publish research based on your work (subject to corporate approval).

Requirements

Currently pursuing an MS or PhD degree in Computer Science, Electrical Engineering, or a related technical field.
Strong foundation in probability theory, detection and estimation, digital communications, DSP, or error-control coding.
Excellent analytical and problem-solving skills.
Proficiency in programming with C/C++, MATLAB, or Python.
Prior industry experience is not required.

Responsibilities

Work alongside senior engineers to research and develop algorithms in digital communications, signal processing, error-control coding, and detection/estimation theory.
Contribute to simulation and modeling using tools such as MATLAB, Python, or C/C++ to assess system performance and validate design concepts.
Explore and implement advanced techniques, including machine learning, adaptive filtering, and clock recovery.